Senior Python AI/ML Engineer| Hybrid| Full-time

Python Software Foundation; India; On-site; Confidential; Full time

Job summary

The Python Software Foundation is seeking a Senior Python AI/ML Engineer to lead the development of innovative AI-powered systems in India.

This full-time, hybrid role focuses on integrating LLM capabilities and bridging R&D with engineering efforts. The ideal candidate will have over 8 years of experience, advanced Python skills, and expertise in AI frameworks.

Your efforts will significantly drive AI adoption and create substantial business impact across the organization.

Qualifications

• Minimum 8+ years of experience in AI/ML development.
• Advanced proficiency in Python.
• Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).
• Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).
• Solid foundation in Data Science and statistical modeling.
• Experience with Agentic Workflows using LangChain-based agents.
• Hands‑on experience with LangGraph.
• Deep understanding of fine‑tuning techniques for LLMs.
• Hands‑on experience with Transformer architecture.

Responsibilities

• Design and develop PoCs and present them to business stakeholders.
• Build and deploy innovative AI solutions using state‑of‑the‑art models.
• Integrate LLMs into existing and new applications.
• Develop new functionalities within R&D applications.
• Promote and implement best process practices across AI development workflows.

Skills

AI/ML development

Python

AI frameworks (TensorFlow, PyTorch)

LLM expertise (GPT, Claude, LLaMA)

Data Science and statistical modeling

Agentic Workflows

LangGraph

Fine-tuning techniques for LLMs

Transformer architecture

Job description

Senior Python AI/ML Engineer | Hybrid | Full-time

Job Description

We are seeking a highly skilled and innovative Python / AI Engineer to join our team and help us build the next generation of AI-powered enterprise systems. We are actively investing in LLMs, agentic workflows, and applied AI systems, but much of this potential is still untapped. Today, our AI initiatives are fragmented—PoCs exist in silos, LLM integrations are early-stage, and there is no unified intelligence layer across the application landscape. We’re looking for someone who can change that.

You will sit at the intersection of engineering, R&D, and business teams, turning AI experimentation into production-grade systems that deliver measurable impact. This is not a “model training-only” role—you will be expected to design, build, and ship end-to-end AI solutions.

The Role. You will be the first deep technical owner responsible for turning our AI ambition into real, working systems that drive business outcomes.

Build and productionize AI systems — Design and implement LLM-powered applications, AI agents, and intelligent automation workflows that integrate directly into our core product ecosystem.

Develop PoCs and scale them into production — Rapidly prototype AI/ML solutions, validate feasibility with stakeholders, and evolve them into scalable, reliable services.

Integrate LLMs into real business workflows — Work with APIs, orchestration frameworks, and model providers to embed LLM capabilities across applications (chat, reasoning, summarization, retrieval, and automation use cases).

Design intelligent systems, not just models — Focus on end-to-end architecture: data flow, prompt orchestration, memory, evaluation, guardrails, and feedback loops.

Bridge R&D and engineering — Translate research ideas and business problems into working AI systems that can be deployed, monitored, and improved iteratively.

Drive AI adoption across the organization — Collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities where AI can meaningfully improve efficiency or decision-making.

Restrictions

• No telecommuting
• No Agencies Please

Requirements

1. Minimum 8+ years of experience in AI/ML development.
2. Advanced proficiency in Python.
3. Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).
4. Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).
5. Solid foundation in Data Science and statistical modeling.
6. Experience with Agentic Workflows using LangChain-based agents.
7. Hands‑on experience with LangGraph (e.g., hackathons or MCPs).
8. Deep understanding of fine‑tuning techniques for LLMs.
9. Hands‑on experience with Transformer architecture and its evolution from earlier models.

Responsibilities

1. Design and develop PoCs and present them to business stakeholders.
2. Build and deploy innovative AI solutions using state‑of‑the‑art models.
3. Integrate LLMs into existing and new applications.
4. Develop new functionalities within R&D applications.
5. Promote and implement best process practices across AI development workflows.