Job Description:

• LLM Implementation : Integrate and fine-tune LLMs via APIs (e.g., OpenAI, Anthropic) and deploy lightweight inference engines.
• AI Workflow Development : Build and optimize pipelines using LangChain , LlamaIndex , or crewAI for agent-based systems.
• Prompt Engineering : Collaborate with domain experts to design and test advanced prompting strategies.
• Vector Database Integration : Deploy and manage embeddings pipelines with Pinecone , Weaviate , or FAISS for RAG systems.
• MLOps Execution : Automate model deployment, monitoring, and versioning using tools like Docker, Kubernetes, and MLflow.
• No-Code Prototyping : Use platforms like n8n to rapidly test and iterate AI solutions.

Required Skills & Qualifications:

• 3–4 years of hands-on experience in AI/ML or related roles.
• LLM APIs (OpenAI, Cohere, Google Gemini) and embedding models (e.g., Hugging Face, OpenAI Ada).
• AI orchestration frameworks : LangChain, LlamaIndex, or crewAI.
• Vector databases : Pinecone, Weaviate, or FAISS.
• Python , REST APIs , and CI/CD pipelines for ML.
• Experience with prompt engineering , RAG, and basic MLOps practices.
• Familiarity with no-code tools like n8n or Make (formerly Integromat) .
• BS in CS, AI, or related field.

Nice-to-Haves:

• Basic understanding of AI ethics and bias mitigation.
• Contributions to open-source AI projects or GitHub repositories.
• Experience with streaming data pipelines (Apache Kafka, Spark).

Benefits:

• Bi-annual Increment
• Medical
• Annual Leaves
• Leave Encashment
• Eid Bonuses
• Subsidized Meals
• Travel Allowance for Females
• Team Lunch/Dinner
• Market Competitive Salary

Location: J-Block, DHA-EME Society

You can also submit your resumes to [email protected]