Asks for

The ad says“Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).”
The ad says“Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).”
The ad says“Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).”
The ad says“Experience with containerization and orchestration tools.”
The ad says“Understanding of statistical, ML and deep learning algorithms.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Understanding of statistical, ML and deep learning algorithms.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Experience with containerization and orchestration tools.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).”
The ad says“Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).”
The ad says“Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).”
The ad says“Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Understanding of statistical, ML and deep learning algorithms.”
The ad says“Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.”
The ad says“Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).”
The ad says“Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).”

Years from now, history will look back at this moment as a landmark for the human race, the moment generative AI began to change everything. At Loka, we're not just watching it happen, we're

Misson Support

Engage with clients to understand their business and technical needs, evaluate potential solutions, and define high-level implementation approaches and estimates.
Contribute to internal engineering initiatives and projects, helping identify opportunities for improvement and drive their implementation.

Mentoring & Leadership

Serve as the primary ML specialist across multiple projects, elevating the team's work.
Provide guidance and mentorship to junior ML engineers within the team.

What You'll Bring

Technical Skills

Bachelor's degree in Computer Science or a related field.
4+ years of AI/ML engineering experience.
Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.
Understanding of statistical, ML and deep learning algorithms.
Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).
Experience with containerization and orchestration tools.
Client-facing experience.
Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).

Leadership & Soft Skills

A track record of mentoring junior engineers and elevating team output.
Confidence leading client communications and managing expectations independently.
Autonomy, adaptability and a consistently positive presence on the teams you work with.

Not Required but Nice to Have

MLOps/LLMOps experience, preferably in AWS, along with standard tooling (MLFlow, LangFuse).
Experience in consultancy environments or startups, including managing projects and adapting to different settings.

Additional Requirements

Excellent English, as a global team, we work entirely in English for meetings, customer calls and business communications.
CV written in English.

Personality Profile

Curious: You strive to learn and grow into different industries with a modern tech stack.
Autonomous and positive: You excel in a fully remote, globally distributed team.
Team player: You enjoy a collaborative approach.
Adaptable: You operate with a startup mindset and move at a startup pace.
Empathetic: You lead and mentor with patience and compassion.

Benefits

Every other Friday off (26 extra days off a year)
Remote-first culture
Explore and Relocation programs (three months work abroad or full international relo)
Paid sick days and local holidays
Business English classes program
Continuous Learning Support
Fitness and/or Mental Health Subscriptions
Access to LokaLabs™, our internal research and development program
Defined career path

Your achievements matter to us! Ensure your CV, LinkedIn and GitHub profiles are up to date and accurately reflect your experience.