Agentic Ai Developer Architect (remote/blr Hybrid)

Year    KA, IN, India

Job Description

Job Title:

Data Scientist & Agentic AI Developer

Location:

Remote / Hybrid (Bengaluru preferred)

Company:

AskRajiv.ai

Employment Type:

Full-Time

Availability:


Less than 45 days.

Experience Level : 4-15 yrs

Company:


RajivMalhothra is social science researcher. askrajiv.ai is the AI company around his research. This is full time role with askrajiv.ai. NLP is around 'Indian social sciences and ancient wisdom'

About AskRajiv Role Overview



We are seeking a talented and inquisitive

Data Scientist & Agentic AI Developer

to join our team and drive the advancement of intelligent agents capable of reasoning, planning, and acting autonomously. The ideal candidate will effectively bridge the gap between data science and agentic systems by developing, fine-tuning, and deploying intelligent systems that utilize both structured and unstructured datasets. This foundational role combines ML model development, dataset curation, prompt engineering, and agent orchestration.

Key Responsibilities



Data Engineering & Training



o Design, curate, and label datasets for supervised and RLHF-style training.

o Develop data pipelines for both structured and unstructured inputs (e.g., PDFs, forms, chats, APIs).

o Fine-tune foundational models (e.g., LLMs, BERT, T5) for domain-specific tasks.

Agentic AI Development



o Construct and orchestrate multi-step AI agents that exhibit goal-driven behavior.

o Design custom tools and integrations (e.g., form-fillers, API connectors) for agents.

o Optimize reasoning chains using techniques such as ReAct, CoT, and self-reflection.

ML & NLP Modeling



o Train and evaluate models for tasks such as classification, extraction, summarization, and entity linking.

o Implement prompt engineering and function-calling logic with modern LLM APIs (OpenAI, Claude, Mistral, etc.).

o Measure and enhance model performance focusing on safety, accuracy, and latency.

Deployment



o Deploy models and agents into production through scalable APIs and workflows.

o Contribute to agent evaluation, A/B testing, and continuous learning loops.

Required Skills & Experience



Proficiency in Python, PyTorch/TensorFlow, and NLP libraries (spaCy, HuggingFace, LangChain, LlamaIndex).

Strong understanding of transformer-based models and agent frameworks.

Experience with dataset design, labeling, and RLHF or supervised fine-tuning.

Ability to build tools and agents that interact with APIs, databases, and user interfaces.

Familiarity with agentic design patterns (memory, tool use, planning, etc.).

Hands-on knowledge of vector databases (Pinecone, FAISS, Weaviate, MongoDB, CosmosDB) and Retrieval-augmented Generation (RAG).

Preferred Qualifications



Degree in Computer Science, Data Science, AI/ML, or a related field.

Previous experience building LLM-powered agents or co-pilots.

Contributions to open-source AI/agentic frameworks.

What We Offer



Competitive compensation and equity options

Opportunity to work on frontier AI problems in real-world legal and compliance domains

Work with a passionate and experienced founding team

Job Types: Full-time, Permanent

Pay: ?1,500,000.00 - ?3,500,000.00 per year

Benefits:

Health insurance
Schedule:

Day shift Monday to Friday
Application Question(s):

What is your expected CTC? What is your notice period? Do you have other offers and what is the joining date? Are you comfortable with BERT, transformers, LLMs and related tech? Are you comfortable with full stack development? Did you work on any agentic frameworks and NLP project that went to production? Did you do any LLM fine-tuning for specific project needs? What technique did you use? Are you ready to work remote / Hybrid in Bangalore?
Work Location: In person

Application Deadline: 07/12/2025

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Job Detail

  • Job Id
    JD3826043
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KA, IN, India
  • Education
    Not mentioned
  • Experience
    Year