Custom Software Engineering Lead

We Love AI Jobs; Mumbai; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

We Love AI Jobs seeks a seasoned Custom Software Engineering Lead to drive architecture and delivery of Python-based GenAI enterprise applications. You will lead teams through design, implementation, and operations, delivering scalable RAG and agentic workflows with vector search and semantic capabilities.

You will pair hands-on development with technical leadership, mentoring engineers, and aligning with stakeholders to ensure robust, production-ready GenAI solutions leveraging OpenAI, Gemini,

Qualifications

• 5+ years hands-on Python development experience.
• 2+ years AI-GenAI-RAG and LLM app development.
• Experience building enterprise GenAI apps with LLMs.
• Strong knowledge of RAG, vector search, embeddings.
• Experience integrating OpenAI, Gemini, Anthropic platforms.
• Proficient in LangChain/LangGraph and Transformers.

Responsibilities

• Lead design and development of AI-powered Python apps with GenAI.
• Build and deploy GenAI apps with natural language interfaces.
• Design and optimize RAG, semantic search, and agentic workflows.
• Integrate LLMs from major platforms and manage pipelines.
• Mentor teams, review code, and drive architectural decisions.

Skills

Python

LLM integration

RAG

Agentic AI workflows

Vector search

LangChain

LangGraph

Hugging Face Transformers

FastAPI

SQL/Data Modeling

Education

15 years full time education

Tools

OpenAI

Gemini

Anthropic

FAISS

Qdrant

Weaviate

Job description

# Custom Software Engineering LeadAccenture Federal ServicesMumbaiFull-timeAI tools:OpenAIGeminiAnthropicLangChainLangGraphHugging FaceSentence TransformersFAISSUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis technical lead will direct the design and delivery of Python-based enterprise AI applications, including RAG, semantic search, and agentic workflows. The role combines hands-on development with architecture decisions, code reviews, team mentoring, and stakeholder collaboration.* Full-time* On-site* 5+ years* 15 years of full-time education### Skills and expertisePythonLLM integrationRAGAgentic AI workflowsVector searchLangChainFastAPIHugging Face Transformers### Key responsibilities* Lead development of Python applications using GenAI, RAG, and agentic workflows.* Design scalable data pipelines, embeddings, vector stores, and retrieval frameworks.* Set technical direction, review code, mentor team members, and align with stakeholders.## How this job comparesCompared with 57 open lead machine learning jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 57 open lead machine learning jobs at 36 companies.Remote work: This job is on site. 12 of the 57 lead machine learning jobs (21%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The lead is responsible for designing and delivering production-ready GenAI applications and LLM-powered workflows. The posting requires hands-on AI development alongside technical leadership.## Full descriptionProject Role : Custom Software Engineering LeadProject Role Description : Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.Must have skills : Python (Programming Language)Good to have skills : AI & Data Solution ArchitectureMinimum 5 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummarySeeking a highly experienced Python + AI-GenAI Application Lead with Python development and AI-GenAI experience. The ideal candidate should have strong practical expertise in designing and delivering enterprise-grade GenAI applications, RAG solutions, Agentic AI workflows, Vector Search platforms, and scalable data processing systems. The role requires a technical leader who can drive architecture, mentor teams, and lead end-to-end solution delivery.Experience5+ years of hands-on Python development experience2+ years of AI-GenAI-RAG and LLM application developmentRoles & ResponsibilitiesLead the design and development of AI-powered enterprise applications using Python.Build and deploy GenAI applications with natural language interfaces.Design and optimize RAG, Text-to-SQL, Semantic Search, and Agentic AI solutions.Integrate and orchestrate LLMs from OpenAI, Gemini, Anthropic, and similar platforms.Design and implement scalable data ingestion and processing pipelines.Develop and manage embeddings, vector stores, and retrieval frameworks.Establish monitoring, observability, and performance dashboards using Grafana.Drive technical design decisions, code reviews, mentoring, and best practices.Collaborate with stakeholders to deliver scalable and secure AI solutions.Must Have Skills:-Python & Backend5+ years of hands-on Python development experiencePython, OOPs, Design Patterns, Unit TestingFastAPI, Flask, Django REST FrameworkSQL, Data Modeling, Shell ScriptingPandas, NumPy, DataFramesAuthentication & Authorization (JWT-OAuth-SSO)Performance Tuning & Code OptimizationAI - GenAI (Mandatory)2+ years of hands-on AI-GenAI application development experienceLLM Integration (OpenAI, Gemini, Anthropic, or similar)GenAI Tooling and Natural Language Interface DevelopmentAgentic AI WorkflowsRAG (Retrieval Augmented Generation) Development & OptimizationText-to-SQL SolutionsLangChain, LangGraph, Sentence TransformersHugging Face TransformersVector Search & Semantic SearchEmbedding Models (OpenAI, BERT, or similar)Vector Databases (FAISS, Qdrant, Weaviate, or similar)