Senior AI/ML ENGINEER

Job Description

Title: Senior AI/ML ENGINEER

Company Name: Genese Solution Ltd

Vacancy: 3

Age: 18 to 50 years

Job Location: Dhaka

Salary: Tk. 100000 - 200000 (Monthly)

Experience:

• At least 5 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service, Artificial Intelligence (AI) Startup

• Bachelor of Science (BSc) in Computer/ IT

• At least 5 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service, Artificial Intelligence (AI) Startup

• Age 18 to 50 years

Requirements:

• Work with current state of the art LLMs and embedding models.

• Experience building agentic AI systems.

• Experience with debugging traces of LLM calls to identify errors/optimizations.

• Experience with building Retrieval-Augmented Generation (RAG) systems.

• Engineer and refine prompts to enhance AI performance and output quality.

• Knowledge of extracting structured outputs from LLMs.

• Experience using LLM APIs, embedding models, and RAG-based AI architectures.

• Strong skills in Python, AI model deployment, and AWS services (Lambda preferred).

• Knowledge of LangChain, Pydantic, and scalable AI workflows.

• Proficiency in prompt engineering and optimization techniques.

• Some UI/UX experience is a plus. 

Preferred:

• Experience in NLP, computer vision, or multimodal AI.

• Proven track record of deploying AI solutions at scale.

• Research background in generative AI models.

Qualifications:

• Minimum 5 years of experience in AI/ML development and data engineering.

• Proficiency in programming languages Python.

• Strong experience with machine learning frameworks (TensorFlow, PyTorch,Scikit-learn).

• Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar.

• Expertise in handling large-scale datasets and implementing ETL/ELT pipelines.

• Experience with cloud platform (AWS) and containerization technologies (Docker, Kubernetes).

• Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses). 

Preferred Qualifications:

• Experience in NLP, Generative AI, or deep learning models.

• Knowledge of Big Data ecosystems such as Hadoop, Trino, or MinIO.

• Understanding of AI ethics, bias mitigation, and responsible AI principles.

• Prior experience in the financial or banking sector is a plus.

Genese solution is seeking a highly skilled and motivated Senior AI/ML Engineer  to architect and build scalable,secure, fault-tolerant and cost effective AI systems with complex workflow orchestration and multi-agent decision-making capabilities.

The ideal candidate will be responsible for architecting, developing and deploying  AI systems by evaluating business needs and recommending optimal approaches like RAG, fine-tuned models, traditional ML, multi-agent frameworks, or hybrid solutions.

The role requires a blend of hands-on machine learning expertise and software engineering proficiency to drive intelligent insights and business solutions.

Key Responsibilities:

●       Design, develop, and scale complex multi-agent AI systems for high-performance, production-grade machine learning applications.

●       Architect scalable, fault-tolerant AI workflows within the Amazon Web Services ecosystem, leveraging Bedrock, SageMaker, Lambda, and EC2 with robust error handling, orchestration, and state management.

●       Rapidly prototype and validate AI solutions by designing experiments, evaluating performance metrics, and iteratively refining approaches to transform validated concepts into optimized, production-ready features.

●      Translate complex business requirements into technical AI/ML solutions

●      Collaborate cross-functionally with product, backend, and domain experts to align AI capabilities with business goals

●      Evaluate emerging AI technologies, present recommendations, and maintain comprehensive documentation of system architectures and operational runbooks

●      Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) systems.

●      Ensure AI applications align with ethical standards, data privacy, and real-world scalability.

●      Develop, fine-tune, and optimize generative AI models

• Mobile bill,Weekly 2 holidays,Performance bonus
• Salary Review: Yearly
• Festival Bonus: 2