Key Responsibilities:

➢ Develop and integrate AI-based solutions using LLMs, prompt engineering, fine-tuning and model optimization.

➢ Work on end-to-end AI workflows — data preprocessing, training, evaluation, deployment, monitoring & scaling.

➢ Build scalable microservices, APIs and automation pipelines around AI/ML systems. ➢ Research and experiment with latest GenAI models, frameworks, vector DBs & inference systems.

➢ Create clean, well-documented code with clear architecture, flowcharts, datasets & experiment tracking.

➢ Optimize model latency, cost & performance using quantization, batching, caching, etc. ➢ Implement evaluation frameworks, benchmarking & continuous improvement for AI systems.

➢ Participate in collaborative discussions, brainstorming & contribute to product vision and roadmap.

➢ Stay up-to-date with emerging AI technologies; explore new tools, frameworks & research papers.

➢ Protect confidential data & ensure responsible use, ethical AI and security compliance.

➢ Contribute to organization goals by completing assigned deliverables on time with quality.

Required Skills & Qualifications:

➢ Bachelor’s/Master’s degree in CSE, IT, AI, Data Science or equivalent.

➢ Good understanding of Machine Learning fundamentals, Python programming & data structures.

➢ Knowledge of LLMs, NLP techniques, embeddings, vector search systems.





➢ Familiarity with AI frameworks like PyTorch, TensorFlow, Keras, Transformers (Hugging Face).

➢ Ability to work with APIs, datasets, pipelines & cloud compute for model training or inference. www.wohlig.com Experience (project/internship) with one or more GenAI tasks: ➢ Prompt engineering

➢ Model fine-tuning / RAG

➢ Text, speech, or image generation

➢ Valuable understanding of databases – SQL/NoSQL; familiarity with Vector DBs is a plus.

➢ Hands-on learning mindset — POC building, AI tool experimentation, hackathon participation.

➢ Ability to document requirements, model architectures, experiments, and results clearly. Good to Have (Not mandatory but preferred):

➢ Knowledge of LangChain, LlamaIndex, RAG architecture.

➢ Experience deploying AI apps on GCP/AWS/Azure or using serverless compute.

➢ Understanding of CI/CD, Docker, Kubernetes, scalable API design.

➢ Contributions to open-source AI projects or participation in AI research.

Contact us on (phone hidden)

Pay: ₹400,000.00 - ₹1,000,000.00 per year

Ability to commute/relocate:

- Mumbai, Maharashtra (Mumbai, Mumbai District): Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Education:

- Bachelor's (Required)

Work Location: In person

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