AI Generalist

Atluri Developers

Hyderabad

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

Atluri Developers is seeking a highly skilled AI Generalist with 3-5 years of experience in AI, ML and Generative AI to design, build and deploy AI-driven solutions. You will integrate LLMs, automate workflows, and work across NLP, CV, analytics and AI agent domains.

The role involves building APIs, maintaining documentation, and ensuring security, privacy, and ethical AI practices while collaborating with cross-functional teams.

Qualifications

  • 35 years of hands‑on experience in AI/ML development.
  • Strong proficiency in Python and AI/ML libraries/frameworks.
  • Experience with Generative AI & LLMs.
  • Prompt Engineering.
  • LangChain / LlamaIndex / AI orchestration frameworks.
  • OpenAI APIs or similar platforms.
  • Vector Databases (Pinecone, Weaviate, Chroma, FAISS, etc.).
  • Understanding of Machine Learning, NLP, and RAG concepts.
  • Experience with AWS, Azure, or GCP.
  • Familiarity with Docker, APIs, and microservices architecture.
  • Strong analytical and communication skills.

Responsibilities

  • Design, develop, and deploy AI/ML models and applications.
  • Build and integrate Generative AI solutions using OpenAI, Gemini, Claude, or similar LLM platforms.
  • Develop AI-powered automation workflows and intelligent agents.
  • Work on NLP tasks such as text classification, summarization, embeddings, chatbots, and semantic search.
  • Fine-tune and optimize AI models for performance and scalability.
  • Collaborate with cross-functional teams to identify AI opportunities and implement solutions.
  • Develop APIs and backend integrations for AI applications.
  • Evaluate emerging AI tools, frameworks, and technologies.
  • Maintain documentation, model monitoring, and performance reporting.
  • Ensure AI solutions follow security, privacy, and ethical AI practices.

Skills

Python
Generative AI
LLMs
Prompt Engineering
LangChain
LlamaIndex
OpenAI APIs
Vector Databases
ML/NLP/RAG concepts
Cloud platforms
Docker
APIs
Microservices
Analytical skills
Communication skills

Tools

Pinecone
Weaviate
Chroma
FAISS
GitHub

Job description

About the Role

We are looking for a highly motivated and versatile AI Generalist with 3-5 years of experience in Artificial Intelligence, Machine Learning, and Generative AI technologies. The ideal candidate should have hands‑on experience building AI-driven solutions, integrating LLMs, automating workflows, and working across multiple AI domains including NLP, computer vision, analytics, and AI agents.

Key Responsibilities
  • Design, develop, and deploy AI/ML models and applications.
  • Build and integrate Generative AI solutions using OpenAI, Gemini, Claude, or similar LLM platforms.
  • Develop AI-powered automation workflows and intelligent agents.
  • Work on NLP tasks such as text classification, summarization, embeddings, chatbots, and semantic search.
  • Fine-tune and optimize AI models for performance and scalability.
  • Collaborate with cross-functional teams to identify AI opportunities and implement solutions.
  • Develop APIs and backend integrations for AI applications.
  • Evaluate emerging AI tools, frameworks, and technologies.
  • Maintain documentation, model monitoring, and performance reporting.
  • Ensure AI solutions follow security, privacy, and ethical AI practices.
Required Skills & Qualifications
  • 35 years of hands‑on experience in AI/ML development.
  • Strong proficiency in Python and AI/ML libraries/frameworks.
  • Experience with Generative AI & LLMs.
  • Prompt Engineering.
  • LangChain / LlamaIndex / AI orchestration frameworks.
  • OpenAI APIs or similar platforms.
  • Vector Databases (Pinecone, Weaviate, Chroma, FAISS, etc.).
  • Understanding of Machine Learning, NLP, and RAG concepts.
  • Experience with AWS, Azure, or GCP.
  • Familiarity with Docker, APIs, and microservices architecture.
  • Strong analytical and communication skills.
Preferred Qualifications
  • Experience building AI agents or autonomous workflows.
  • Exposure to MLOps tools and deployment pipelines.
  • Knowledge of Computer Vision or Speech AI.
  • Experience with SQL/NoSQL databases.
  • Contributions to AI projects, GitHub, or research work.Role & responsibilities
Preferred candidate profile
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