Senior Full Stack Developer (Generative Ai Specialist)

Halosis; Jawa Barat; On-site; IDR 500.584.000 - 834.307.000; Full time

Job summary

A leading technology firm in Indonesia is seeking an AI Engineer to design and implement intelligent AI systems. The ideal candidate should have advanced Python skills, a strong background in serverless architecture, and experience with cloud platforms like AWS and Azure. You will play a key role in developing scalable and secure AI solutions, collaborating with cross-functional teams to build the future of AI platforms.

Qualifications

• 2–3 years of experience as an AI Engineer.
• Proven ability to design and implement RAG pipelines.
• Experience in developing agentic AI workflows.

Responsibilities

• Design and implement RAG pipelines using modern frameworks.
• Develop agentic AI workflows with serverless architecture principles.
• Collaborate with teams to ensure scalable AI solutions.

Skills

Advanced proficiency in Python

Familiarity with React or Flutter

Intermediate skills in Serverless compute

Strong experience with CI/CD pipelines

Hands-on experience with serverless GPU inference

Background in multi-cloud deployments

Familiarity with event-driven AI orchestration frameworks

Contributions to open-source AI/ML projects

Education

Bachelor’s degree in Computer Science or related field

Tools

LangChain

Hugging Face

AWS

Azure

Docker

Kubernetes

MLFlow

Weights & Biases

Job description

Artificial Intelligence Engineer

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Job Description

About Us

With over 25 years of excellence, PT Mitra Solusi Telematika (MST) is a trusted IT partner helping businesses thrive through innovation and integration. Our latest breakthrough, MissTika AI Platform, is a one‑stop solution for RAG, summarization, ingestion, and API‑based access—designed to be scalable, secure, and enterprise‑ready.

Now, we’re scaling into Agentic AI & Automation, and we’re looking for a visionary AI Engineer to help us build the future of serverless‑first AI platforms.

What You’ll Do

As our AI Engineer, you’ll be at the heart of building intelligent, scalable, and secure AI systems:

• Design and implement RAG pipelines using modern frameworks like LangChain and Hugging Face.
• Develop agentic AI workflows with serverless‑first architecture principles.
• Build and optimize vector search systems using pgvector, Pinecone, or FAISS.
• Architect serverless AI services on AWS and Azure, including Lambda, Step Functions, and API Gateway.
• Create CI/CD pipelines for ML models and automate retraining and monitoring using MLFlow or Weights & Biases.
• Deploy AI workloads on SageMaker and container‑based inference endpoints.
• Ensure system reliability and security through Docker, Kubernetes/ECS, and observability tools.
• Collaborate with cross‑functional teams and contribute to scalable, secure, and enterprise‑ready AI solutions.

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• 2–3 years of experience as an AI Engineer
• Advanced proficiency in Python and familiarity with React or Flutter
• Intermediate skills in Serverless compute, API Gateway, and
• Strong experience with CI/CD pipelines, LLM frameworks, RAG, and Vector Databases
• Hands‑on experience with serverless GPU inference (e.g., SageMaker Asynchronous Inference, Azure ML batch endpoints)
• Background in multi‑cloud deployments across AWS and Azure
• Familiarity with event‑driven AI orchestration frameworks such as CrewAI, AutoGen, or LangGraph
• Contributions to open‑source AI/ML projects are a strong plus

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Senior Artificial Intelligence Engineer

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Job Description

About Us

With over 25 years of innovation, MST is a trusted IT partner helping businesses thrive through cutting‑edge technology. Our flagship product, MissTika AI Platform, is a one‑stop solution for RAG, summarization, ingestion, and API‑based access—built to be scalable, secure, and enterprise‑ready.

We’re now entering the next frontier: Agentic AI & Automation. If you’re passionate about building production‑grade AI systems and shaping the future of intelligent platforms, we want you on our team.

Responsibility

As a Senior AI Engineer, you’ll architect and deliver high‑performance AI systems while mentoring engineers and collaborating across teams.

• Lead the design and implementation of RAG pipelines and agentic AI workflows using LLMs and structured outputs.
• Architect scalable, serverless AI services on AWS and Azure with robust orchestration and streaming capabilities.
• Optimize vector search systems and enforce secure, multi‑tenant knowledge base access.
• Build and maintain backend AI services including token quotas, latency control, and modality safety.
• Drive deployment automation using Terraform/CDK and ensure secure connectivity and infrastructure.
• Define and integrate evaluation metrics (e.g., faithfulness, relevance, CER/WER) into CI/CD pipelines.
• Instrument observability tools and lead incident response with clear SLOs and dashboards.
• Mentor engineers and set standards for secure, scalable, and cost‑efficient AI platform development.

Requirements

• Master’s / Bachelor’s degree in Computer Science, Mathematics, or a related field
• 5+ years of experience building and deploying production‑grade AI systems
• Strong skills in Python (AI backend) and experience with
• Expertise in RAG pipelines, LLM orchestration (LangChain, LangGraph), and Vector Databases
• Hands‑on experience with serverless architecture, event‑driven AI, and containerized workloads
• Familiarity with Generative AI, structured outputs, and AI Gateway design including token quotas
• Experience with multi‑cloud deployments (AWS + Azure) and serverless GPU inference
• Knowledge of Terraform/CDK, open‑source contributions, and secure multi‑tenant architecture (RBAC, RLS, KMS)

Machine Learning Engineer

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Job Description

Full‑time I Hybrid (3WFO + 2WFH)

At

We are looking for a ML Engineer with strong expertise in Data Science and exposure to Generative AI to join our growing team.

Key Responsibilities

• Design, develop, and implement machine learning and generative AI models aligned with business objectives.
• Own end‑to‑end ML/AI projects: from scoping, data preparation, model development, deployment, monitoring, to continuous improvement.
• Collaborate with stakeholders to translate business needs into actionable technical solutions.
• Proactively identify opportunities where AI/ML can deliver business impact.
• Ensure scalability, reliability, and cost‑efficiency in solutions using best practices in MLOps and cloud‑native architecture.
• Continuously optimize ML pipelines and workflows for performance.
• Stay ahead with the latest AI/ML advancements (esp. Generative AI) and advocate adoption within the team.
• Take ownership and demonstrate accountability across the project lifecycle.

Qualifications

• 3–5 years of relevant experience in Data Science / Machine Learning.
• Proficiency in Python (preferred), R, or Julia.
• Proven track record in the end‑to‑end ML lifecycle (data preprocessing, feature engineering, model building, deployment, monitoring, optimization).
• Hands‑on with ML libraries/frameworks (TensorFlow, PyTorch, Scikit‑learn, Keras).
• Familiarity with Generative AI (LLMs, embeddings, prompt engineering, fine‑tuning, vector DBs, RAG).
• Experience with structured databases (MySQL, PostgreSQL, Snowflake) and unstructured data (Elasticsearch, MongoDB).
• Hands‑on with cloud platforms (AWS preferred, GCP/Azure a plus).
• Strong foundation in math, statistics, and problem‑solving.

Why Join Us?

Opportunity to work on impactful AI/ML projects.

Collaborative and innovative team environment.

Machine Learning Engineer

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Job Description

At Insignia, we’re looking for a Junior to Mid‑Level ML Engineer who’s excited to work on real‑world AI applications — from data pipelines to model deployment. You don’t need to be an expert yet, but you should already know the basics of machine learning, have built something with Python, and want to go deeper.

You’ll collaborate with senior engineers and data scientists to develop models that power automation, insights, and smart features. If you’re passionate about applied AI, comfortable with code, and eager to ship models that matter, this is your chance to grow fast in a hands‑on environment.

This is a hybrid role based in West Jakarta, blending focused collaboration with flexible execution.

What You’ll Do

Assist in designing, training, and deploying machine learning models for production use.

Work on data preprocessing, feature engineering, and model evaluation workflows.

Support the development of AI‑powered features, including NLP, classification, or recommendation systems.

Collaborate with data engineers and software teams to integrate models into applications.

Write clean, maintainable code in Python using modern ML libraries (PyTorch/TensorFlow).

Learn and contribute across the ML lifecycle — from experimentation to monitoring.

Who You Are

1–3 years of experience in ML engineering, data science, or related roles — fresh grads with strong projects / internship also welcome.

Solid foundation in Python, machine learning concepts, and data manipulation (Pandas, NumPy).

Hands‑on experience with scikit‑learn, PyTorch, TensorFlow, or similar frameworks.

Familiarity with Jupyter, Git, and basic MLOps practices.

Bonus: Experience with NLP, computer vision, or GenAI projects (e.g., RAG, LLMs).

Eager to learn, give/receive feedback, and improve through iteration.

Fluent in English — written and spoken.

Why Join Us?

Because great ML engineers aren’t born — they’re built through real projects, mentorship, and ownership. If you’re ready to move beyond tutorials and start shipping intelligent systems, let’s talk.

Hybrid role – West Jakarta

Machine Learning Engineer

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Job Description

We are looking for a Senior Machine Learning Engineer (SDE 3) to play a key role in delivering high‑impact projects. This position requires strong technical expertise, ownership, and the ability to work across complex systems that blend data engineering and software development.

Key Responsibilities

• Lead the development and implementation of key strategic projects.
• Provide technical and maintenance support for existing systems.
• Contribute to the continuous improvement of in‑house enterprise systems.

Qualifications

• 5+ years of experience as a Software Engineer, with a strong foundation in both Data Engineering and Software Development.
• Proven expertise in big data technologies and cloud platforms (Google Cloud Platform or AWS), especially within distributed pipelines.
• Knowledge of graph databases is a strong plus.
• Solid understanding of machine learning concepts and real‑world applications.
• Strong skills in data analysis and log exploration.
• Excellent problem‑solving, troubleshooting, and a collaborative, proactive mindset.

Why Join Us?

• Take ownership of mission‑critical projects that directly impact business growth.
• Work with cutting‑edge technologies across big data, cloud, and ML systems.
• Be part of a dynamic and innovative environment that values initiative and expertise.

#LI-DI1

Sr. Machine Learning Engineer

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Job Description

At Insignia, we’re looking for a Machine Learning Engineer who has built more than just models — someone who’s deployed RAG‑based solutions across different cloud environments, and knows how to make them scale without breaking.

You don’t need to be a generalist — but you should be comfortable jumping between data pipelines, vector stores, and infrastructure quirks depending on the client or project.

What You’ll Do

• Design, build, and optimize RAG‑based architectures using tools like LangChain, LlamaIndex, and vector databases.
• Deploy and manage ML systems across AWS, GCP, Azure, or any cloud our clients choose.
• Improve retrieval quality, reduce latency, and balance cost‑efficiency at scale.
• Collaborate with data scientists, engineers, and product teams to productionize AI features.
• Write clean, maintainable code — because smart systems only work if they’re sustainable.

Who You Are

Strong foundation in Python, ML fundamentals, and data pipelines.

Hands‑on experience with RAG‑based systems and tools like Hugging Face, Pinecone, Weaviate, or FAISS.

Comfortable working across multiple cloud platforms and adapting to new infrastructures.

Bonus: Background in data engineering, ETL pipelines, or MLOps is highly valued.

Curious, collaborative, and excited about real‑world AI applications.

Why Join Us?

Because great AI isn’t built once — it’s maintained, optimized, and evolved. If you’re ready to build systems that learn, adapt, and keep running — let’s talk.

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