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Jr Artificial Engineer

Company Description

Anemoia.dev is a forward-thinking software company that combines innovation with a commitment to education. Our team of skilled developers creates cutting-edge software solutions, including web and app development, advanced FinTech platforms, and AI-driven systems. By fostering innovation and equipping future engineers with practical skills, Anemoia.dev plays a vital role in advancing the digital frontier and building a bright future in software development.

Role Description

This is a full-time position for a Junior AI Engineer. The role involves developing and implementing AI-driven applications, designing and deploying neural network models, and working on natural language processing projects.

Requirements:

1. AI Frameworks & Tooling

  • Vercel AI SDK: Build streaming chat interfaces and handle structured data in Next.js.
  • LangChain / LangGraph: Orchestrate complex chains and stateful agentic workflows (loops/human-in-the-loop).
  • MCP (Model Context Protocol): Connect LLMs to local/remote tools, files, and databases using standardized servers.
  • Modern RAG: Implement chunking, embeddings, and retrieval using Vector DBs (Pinecone, Supabase, or Chroma).

2. Memory & Context Management

  • Conversation State: Use Checkpointers (SQL/Redis) to persist chat history across user sessions.
  • Context Window Optimization: Efficiently trim or summarize long conversations to stay within token limits.
  • Long-term Memory: Store and retrieve user-specific preferences or past interactions via semantic search.

3. Technical Core

  • Programming: Proficiency in TypeScript (frontend/SDKs) and Python (AI logic/data).
  • Tool Calling: Ability to define and handle function/tool calls using JSON schemas or Zod.
  • Structured Output: Force LLMs to return reliable, machine-readable data for app integration.
  • Tracing & Evals: Use tools like LangSmith to debug agent steps and measure response quality.

4. Junior Operational Skills

  • Cost Management: Awareness of token pricing and prompt optimization.
  • Rapid Prototyping: Ability to quickly wire up an LLM to a new data source or API.
  • Clean Documentation: Writing clear specs for system prompts and tool descriptions.

Qualifications:

  • Minimum 6 Months of Experience.
  • Foundational knowledge in Pattern Recognition, Neural Networks, and Natural Language Processing (NLP)
  • Strong understanding of Computer Science principles and concepts
  • Proficiency in Software Development, including programming languages (e.g., Python, JavaScript, Typescript)
  • Ability to learn and apply Machine Learning and Artificial Intelligence techniques effectively
  • Strong problem-solving skills and ability to work collaboratively in a team
  • Bachelor's degree in, AI, or a related field (or equivalent experience)

Job Type: Full-time

Pay: Rs50,000.00 - Rs60,000.00 per month

Ability to commute/relocate:

  • Wah Cantonment: Reliably commute or planning to relocate before starting work (Preferred)

Education:

  • Bachelor's (Preferred)

Experience:

  • artificial engineering: 1 year (Preferred)

Location:

  • Wah Cantonment (Preferred)

Work Location: In person

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