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

New

Sr Director, AI Engineering

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

Location

United States , San Francisco

Salary:

286200.00 - 392000.00 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 5 years of people leadership experience

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Make high judgment build-vs-buy decisions across 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
Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

Sr. Distinguished AI Engineer

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

Location

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

Salary:

286200.00 - 392000.00 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

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

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

Sr Engineering Manager, Maps Search

The Maps Search team powers location search and discovery across Uber’s ecosyste...

Location

United States , San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including significant experience building or leading ML/AI or optimization-driven systems
5+ years of engineering management experience, including managing managers or tech leads
Experience leading multi-disciplinary teams (backend services + ML/AI required
mobile experience a plus)
Track record of leading mission-critical, consumer-facing products or platforms in close partnership with cross-functional stakeholders
Demonstrate experience in developing and retaining high-performing engineering teams

Job Responsibility

Partner deeply with Product, Applied Science, and other teams at Uber to define strategy & drive execution on company-critical initiatives
Set the multi-year technical vision and strategy for Maps search and recommendations across Uber
Raise the bar on ML innovation and platform reliability at global scale
Build and mentor a strong bench of engineering leaders (EMs & Tech leads)

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

New

Sr Distinguished Ai Engineer

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

Location

United States , San Jose

Salary:

286200.00 - 392000.00 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 that change how our associates work and how our customers interact with Capital One
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, etc.
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

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

Fulltime

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Sr. Software Engineer, Search and AI

Job Description

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