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Salary
$155k per year
Location
In office (New York)

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 14, 2026. Photon scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Photon is a digital transformation and IT services company with its registered office in Chennai, India, and US offices including Dallas, building mobile apps, ecommerce platforms, cloud services, APIs and AI solutions for large enterprises. Started in 1999, it has grown to more than 4,000 people and works with many Fortune 100 and Fortune 500 companies in retail, banking, technology and consumer sectors, running delivery centers in Chennai, Bengaluru and Pune. It hires Java and backend developers, Android and full stack engineers, SAP Commerce developers, QA and automation testers, business analysts, scrum masters and product managers in India and the US.

Job Description: GenAI/Python Developer - AI/ML

Role Overview

We are looking for an experienced GenAI/Python Developer to design, build, and deploy production-grade Generative AI applications and intelligent agent-based solutions. The ideal candidate will have strong expertise in Python, LangGraph, LangChain, LlamaIndex, RAG, vector databases, LLM integration, and multi-agent architectures.

The role requires hands-on experience building scalable AI solutions, integrating commercial and open-source LLMs, fine-tuning models, and optimizing GenAI applications for performance, latency, cost, reliability, and production scalability.

Key Responsibilities

  • Design, develop, and orchestrate sophisticated Generative AI workflows using LangGraph, LangChain, and multi-agent architectures.
  • Build and maintain advanced Retrieval-Augmented Generation (RAG) solutions using LlamaIndex and vector databases.
  • Design retrieval pipelines focused on improving the accuracy and relevance of LLM-generated responses.
  • Integrate and evaluate multiple commercial and open-source LLMs, including OpenAI, Anthropic, Llama, and Mistral, based on application, performance, and cost requirements.
  • Develop scalable and high-performance backend services and APIs using Python, FastAPI, and asynchronous programming.
  • Fine-tune and customize LLMs for domain-specific use cases using PyTorch, TensorFlow, Hugging Face, LoRA, and QLoRA.
  • Apply advanced prompt engineering techniques to improve LLM response quality and application performance.
  • Optimize GenAI workflows for latency, cost, scalability, and reliability.
  • Implement monitoring and observability for LLM applications using tools such as LangSmith and Langfuse.
  • Containerize AI applications and services using Docker and support production deployments through CI/CD pipelines.
  • Deploy and maintain GenAI solutions across cloud environments such as AWS, Azure, or GCP.
  • Collaborate with engineering, AI/ML, architecture, and product teams to convert business requirements into scalable AI solutions.
  • Troubleshoot and optimize production AI applications, APIs, retrieval pipelines, and model integrations.

Compensation, Benefits and Duration

Minimum Compensation: 155,000 USD

Maximum Compensation: 217,000 USD

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.

This position is not available for independent contractors

No applications will be considered if received more than 120 days after the date of this post.

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