Sr. Software Engineer, Search and AI Job at Highspot (Hyderabad)

Sr. Manager, Software Engineering (Search)

As a Senior Engineering Manager – Search, you will lead and inspire a talented t...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

3+ years of experience managing engineering teams, with a proven record of developing and scaling backend or search systems
7+ years of total software development experience with cloud-native SaaS platforms
Strong background in search & recommendation technologies such as Lucene, Solr, Opensearch, Elasticsearch, RAG, or similar frameworks
Deep understanding of enterprise search architecture, schema design, and relevance tuning
Proven success building REST APIs, distributed systems, and integrating services using AWS or similar cloud platforms
Experience with object-oriented and functional programming languages, such as JavaScript/TypeScript, Python, or Ruby
Familiarity with machine learning and AI concepts for ranking, personalization, or content recommendations
Track record of attracting and developing diverse talent, fostering a collaborative and inclusive culture
Strong leadership, communication, and stakeholder management skills able to balance technical depth with strategic decision-making

Job Responsibility

Lead, mentor, and grow a team of search and backend engineers focused on high-impact, scalable search solutions
Own the technical vision for search architecture combining traditional and vector based, including relevance, ranking models, and distributed indexing systems
Drive execution excellence — set goals, manage delivery timelines, and ensure consistent progress against engineering objectives
Collaborate with Product and Data Science to translate customer and business needs into measurable search and content recommendation improvements
Optimize and scale our enterprise search stack (Lucene, Solr, ZooKeeper, or similar technologies) to support massive data volumes
Oversee the design and delivery of highly available distributed services and RESTful APIs integrated into Highspot’s platform
Partner with DevOps to ensure reliability, observability, and performance across multiple data centers
Champion AI-driven enhancements to improve personalization, ranking, and search recommendations
Foster a culture of quality, inclusion, and accountability, emphasizing mentorship, continuous learning, and technical excellence
Partner cross-functionally to ensure alignment between platform strategy and product outcomes, including stakeholder communication and risk management

Fulltime

Sr. Software Development Engineer

You will safeguard the quality of our AI and GenAI features by evaluating model ...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

4+ years of experience as a Software Development Engineer in AI/ML systems
Strong coding skills in Python (evaluation pipelines, data processing, metrics computation)
Hands-on experience with evaluation frameworks (Ragas or equivalent)
Knowledge of vector embeddings, similarity search, and RAG evaluation
Familiarity with evaluation metrics (precision, recall, F1, relevance, hallucination detection)
Understanding of LLM-as-a-judge evaluation approaches
Strong analytical and problem-solving skills
ability to combine human judgment with automated evaluations
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
Strong English written and verbal communication skills

Job Responsibility

Evaluation Frameworks – Develop reusable, automated evaluation pipelines using frameworks such as Raagas
integrate LLM-as-a-judge methods for scalable assessments
Golden Datasets – Build and maintain high-quality benchmark datasets in collaboration with subject matter experts
AI Output Validation – Evaluate results across text, documents, audio, and video, using both automated metrics and human-in-the-loop judgment
Metric Evaluation – Implement and track metrics such as precision, recall, F1 score, relevance scoring, and hallucination penalties
RAG & Embeddings – Design and evaluate retrieval-augmented generation (RAG) pipelines, vector embedding similarity, and semantic search quality
Error & Bias Analysis – Investigate recurring errors, biases, and inconsistencies in model outputs
propose solutions
Framework & Tooling Development – Build tools that enable large-scale model evaluation across hundreds of AI agents
Cross-Functional Collaboration – Partner with ML engineers, product managers, and QA peers to integrate evaluation frameworks into product pipelines

Fulltime

Sr. Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , Cambridge, Massachusetts; New York, New York; Richmond, Virginia; San Jose, California; McLean, Virginia; San Francisco, California

Salary:

280600.00 - 384200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Sr Software Engineer, Gen AI

Instrumentl automates grant discovery and management for nonprofits. We’re a mis...

Location

United States , Oakland

Salary:

175000.00 - 220000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering experience
2+ years working with modern LLMs (as an IC)
Startup experience and comfort operating in fast, scrappy environments is a plus
Proven production impact: You’ve taken LLM/RAG systems from prototype to production, owned reliability/observability, and iterated post‑launch based on evals and user feedback
LLM agentic systems: Experience building tool/function‑calling workflows, planning/execution loops, and safe tool integrations (e.g., with LangChain/LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration)
RAG expertise: Strong grasp of document ingestion, chunking/windowing, embeddings, hybrid search (keyword + vector), re‑ranking, and grounded citations. Experience with re‑rankers/cross‑encoders, hybrid retrieval tuning, or search/recommendation systems
Embeddings & vector stores: Hands‑on with embedding model selection/versioning and vector DBs (e.g., pgvector, FAISS, Pinecone, Weaviate, Milvus, Qdrant)
Evaluation mindset: Comfort designing eval suites (RAG/QA, extraction, summarization), using automated and human‑in‑the‑loop methods
familiarity with frameworks like Ragas/DeepEval/OpenAI Evals or equivalent
Infrastructure & languages: Proficiency in Python (FastAPI, Celery) and TypeScript/Node

Job Responsibility

Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets. Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance
Own RAG end‑to‑end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding. Continuously improve recall/precision while managing index health
Manage embeddings at scale: Select, evaluate, and migrate embedding models
maintain vector stores (e.g., pgvector/FAISS/Pinecone/Weaviate/Milvus/Qdrant)
monitor drift and rebuild strategies
Fine‑tune & build evaluation: Run SFT/LoRA or instruction‑tuning on curated datasets
evaluate the ROI vs. prompt engineering/model selection
manage data versioning and reproducibility. Create offline and online eval harnesses (helpfulness, groundedness, hallucination, toxicity, latency, cost), synthetic test sets, red‑teaming, and human‑in‑the‑loop review
Collaborate cross‑functionally while raising engineering standards: Work side by side with Product, Design, and GTM on scoping, UX, and measurement
run experiments (A/B, canaries), interpret results, and iterate. Write clear, maintainable code, add tests and docs, and contribute to reliability practices (alerts, dashboards, incident response)

What we offer

100% covered health, dental, and vision insurance for employees, 50% for dependents
Generous PTO policy, including parental leave
401(k)
Company laptop + stipend to set up your home workstation
Company retreats for in-person time with your colleagues
Work with awesome nonprofits around the US. We partner with incredible organizations doing meaningful work, and you get to help power their success

Fulltime

New

Sr. Machine Learning Engineer – Context Engineering

GEICO is seeking an experienced Sr. Staff Machine Learning Engineer to join our ...

Location

United States , New York City; Palo Alto; Chevy Chase

Salary:

115000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of experience designing and building AIML platform and systems utilizing components such as vectordb (e.g. Qdrant, Milvus, etc.), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgres sql), knowledge graph (e.g. neo4j), workflow orchestration (e.g. Airflow, Temporal)
Proficient in Python, Java and similar general-purpose programming languages
3+ years’ experience managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs
2+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Job Responsibility

Own development of key platform components that power end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, context management, workflow orchestration, etc.
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs for high impact business use cases. Establish pragmatic visions & roadmaps that balance business outcome, product release timelines and engineering excellence
Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
Lead a small team of engineers for feature & system implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Sr Software Development Engineer - ML OPs

Everseen is a leader in vision AI. We are transforming business operations for g...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

4-5 years of work experience in a relevant role and global SaaS company
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and cross-functional collaboration skills
Comfort working in ambiguous and fast-evolving environments
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Hands-on experience with Kubernetes, Docker, and cloud services
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
A demonstrated understanding of the ML lifecycle, model versioning, and monitoring

Job Responsibility

Shares skills, knowledge, and expertise with members of the data engineering team
Fosters a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Collaborates and drive progress with cross-functional teams to design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience
Have influence over the technology stack and internal technical improvements, contributing to strategic decision-making
Based on requirements and a longer-term product and feature strategy, design and implement reusable, testable, efficient, and elegant code
Ensure adherence to coding standards and best practices
Creates, maintains, and runs unit tests for new and existing applications and services
Aims to deliver defect-free and well-tested solutions
Analyzes and collect data from various sources such as log files, application stack traces, and thread dumps

Fulltime

Sr. Staff Engineer (Conversational/Voice AI)

Uber’s Customer Obsession team builds the platform and AI that powers world‑clas...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years building production ML/AI systems
4+ years leading complex ML initiatives end‑to‑end
Deep expertise in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals)
Strong software engineering in Python plus one of Go/Java/C++
hands‑on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real‑time telemetry/observability
Demonstrated ownership of high‑availability services (SLO/SLA design, incident response, on‑call leadership, postmortems)
Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy)

Job Responsibility

Own the end‑to‑end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations
Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries
design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction)
Lead voice agent initiatives: Drive the development of Uber’s voice support agent—covering real-time speech recognition (ASR), text-to-speech, natural turn-taking (barge-in and endpointing), and reliable telephony/WebRTC integration
Advance retrieval & reasoning: Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded
Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms
Drive automation at scale: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact
Mentor/principal‑lead multiple pods
set technical strategy and quality bars
coach senior engineers on agentic patterns, reliability, and experiment velocity

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Engineer Sr Analyst

The Engineer Sr Analyst is an intermediate level position responsible for a vari...

Location

Costa Rica , Heredia

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant experience in an Engineering role
Experience working in Financial Services or a large complex and/or global environment
Project Management experience
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
Demonstrated analytic/diagnostic skills
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, prioritize, and take ownership of various parts of a project or initiative
Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
Proven track record of operational process change and improvement

Job Responsibility

Contribute to the budgetary requirement definition for assigned product area, develop functional specifications, and create project plans and software release schedules
Partner with business and development teams to identify engineering requirements and assist in defining application and system requirements and processes and maintain engineering relationships with the end user/client
Ensure requirements/tasks from technology departments and/or end users are communicated to stakeholders
Provide solutions and processes in accordance with audit initiatives and requirements and consult with Business Information Security officers (BISOs) and TISOs
Exhibit in-depth understanding of engineering concepts and principles
Assist with training activities and mentor junior team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Data Analytics & Visualization: Collect, transform, and analyze massive volumes of structured and unstructured data from platforms such as MSSQL, Elastic Search, and Splunk, identifying key trends and anomalies. Build and maintain sophisticated dashboards and visual reports using systems like Splunk, Qlik Sense, Grafana, Snow, Jira, and Excel to support real-time monitoring and strategic business decision-making. Automate reporting processes and generate critical insights into system performance, resource capacity, and process efficiency at an enterprise level
AI-Driven Automation Solutions: Design and implement intelligent automation solutions using AI technologies (e.g., Gemini, OpenAI) to profoundly enhance IT operations, incident management, and data interpretation across diverse environments. Research and prototype Large Language Models (LLMs) for innovative applications such as anomaly detection, chatbot automation, ticket classification, and predictive analytics. Integrate generative AI models into analytics workflows to significantly improve decision support, user interaction, and response recommendations
Tool and Platform Integration: Collaborate with engineering and infrastructure teams to automate data flows and integrate outputs with tools like Ansible, SCCM, and SNOW. Monitor and analyze automation pipelines to identify inefficiencies, propose improvements, and ensure data-driven operations. Maintain data quality and synchronization across systems through ETL automation and scripting (e.g., SQL, Python, or PowerShell)

Fulltime

Sr. Software Engineer, Search and AI

Highspot

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 09, 2025

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