AI Engineer

Mobility

. Build LLM-powered features in Python, including LangGraph agentic workflows, retrieval and RAG pipelines, text-to-SQL, and tool/MCP integrations.

Posted 9/22/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong Python programming skills with a focus on async, type hints, and testing, while building LLM applications using LangGraph and FastAPI. Capable of collaborating effectively in a distributed team environment and applying critical thinking to evaluate AI-generated outputs.

Highest-signal resume keywords

Python ProgrammingLLM Application DevelopmentFastAPI DevelopmentSQL and Relational DatabasesAI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPISQLLangGraphAsync ProgrammingType HintsTestingRAG PipelinesTool IntegrationsPrompt Engineering

Soft Skills

Clear CommunicationCuriosityOwnershipCollaborationCoachability

Tools & Technologies

Claude CodeCursorGitHub CopilotAWSReactAngularTypeScript

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceEngineering Degree

Industry Keywords

Automotive DomainMobility DomainData GovernanceSemantic ModellingOntology Modelling

Tech Stack

Tools & technologies

AngularAWSCloudPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Build LLM-powered features in Python, including LangGraph agentic workflows, retrieval and RAG pipelines, text-to-SQL, and tool/MCP integrations.
Write clean, typed, tested Python and FastAPI services with streaming responses, async I/O, and error handling.
Assemble golden datasets, write evaluation and guardrail test suites, instrument traces, and assess whether changes improve quality.
Iterate on prompts, tool schemas, and retrieval strategies using measurable results.
Debug agent behavior across retrieval, tool calls, parsing, and entitlements, converting failures into regression tests.
Use AI coding agents while carefully reviewing their output.
Pair with senior engineers, data scientists, and product partners to learn the domain and deliver production systems.

Requirements

What you’ll need

3-6 years of professional software engineering experience.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Strong Python fundamentals, including async, type hints, testing, and packaging.
Hands-on experience building LLM applications using LangGraph or a comparable orchestration framework, plus prompt engineering and retrieval/RAG patterns.
Working knowledge of SQL, relational databases, at least one vector store, embeddings, chunking, basic query tuning, and REST API development, ideally in FastAPI.
Fluent daily use of AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar.
Clear written and verbal communication.
Genuine curiosity and speed of learning.
Ownership and healthy scepticism when reviewing AI-generated output.
Collaborative and coachable; comfortable working across time zones in a distributed team.
Experience with LLM evaluation and observability tooling is preferred.
Exposure to agent protocols and multi-agent patterns is preferred.
Cloud and delivery basics on AWS are preferred.
Front-end familiarity with React or Angular and TypeScript is preferred.
Interest in data governance, semantic or ontology modelling, entitlements, or large-scale analytics products is preferred.
Automotive or mobility domain exposure is a plus.
Open-source contributions, side projects, technical writing, or community involvement are preferred.

Benefits

Comp & perks

Competitive compensation package, including base salary and incentive opportunities where applicable.
Comprehensive health and wellness benefits for employees and eligible dependents.
Retirement savings programs, including company matching contributions where available.