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GDE/MF - AI Engineer (M/F/D)

BASF - Country / Location India

Posted Jun 12, 2026

Benefits

Parental leave
8 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
8 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked Jun 7, 2026
Salary
Not verified
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

GDE/MF - AI Engineer (M/F/D) Country / Location India Strong experience with Python for backend and AI development. Hands-on experience with FastAPI (or similar Python web frameworks). Practical experience with LLM frameworks such as: OpenAI Agents SDK LangChain Or equivalent agent orchestration frameworks Solid understanding of prompt engineering techniques. Experience with memory management and context strategies for GenAI applications. Experience deploying applications to Azure Cloud . Familiarity with Docker and containerized deployments. Experience using GitHub for version control and CI/CD pipelines . Ability to work closely with product teams and adapt to evolving requirements. Key Responsibilities Design, develop, and enhance Generative AI solutions integrated into our product ecosystem. Translate product and business requirements into robust GenAI features . Build and maintain backend services using FastAPI and Python. Develop and integrate LLM-powered agents using frameworks such as OpenAI Agents SDK, LangChain, or similar . Implement effective prompt engineering strategies , including prompt optimization and evaluation. Design and manage conversation memory and context handling for multi-turn and agent-based systems. Deploy and operate GenAI services in Azure Cloud environments. Containerize applications using Docker and contribute to scalable deployment architectures. Collaborate with product managers, engineers, and stakeholders to iteratively improve AI-driven features. Maintain high code quality through version co

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